Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SupervisedTuningSpec

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Tuning Spec for Supervised Tuning for first party models.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SupervisedTuningSpec

Returns a new instance of GoogleCloudAiplatformV1beta1SupervisedTuningSpec.



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63862

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#evaluation_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluationConfig

Evaluation Config for Tuning Job. Corresponds to the JSON property evaluationConfig

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63828

def evaluation_config
  @evaluation_config
end

#export_last_checkpoint_only ⇒ Boolean Also known as: export_last_checkpoint_only?

Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false. Corresponds to the JSON property exportLastCheckpointOnly

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63835

def export_last_checkpoint_only
  @export_last_checkpoint_only
end

#hyper_parameters ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SupervisedHyperParameters

Hyperparameters for SFT. Corresponds to the JSON property hyperParameters

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63841

def hyper_parameters
  @hyper_parameters
end

#training_dataset_uri ⇒ String

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. Corresponds to the JSON property trainingDatasetUri

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63848

def training_dataset_uri
  @training_dataset_uri
end

#tuning_mode ⇒ String

Tuning mode. Corresponds to the JSON property tuningMode

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63853

def tuning_mode
  @tuning_mode
end

#validation_dataset_uri ⇒ String

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset. Corresponds to the JSON property validationDatasetUri

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63860

def validation_dataset_uri
  @validation_dataset_uri
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 63867

def update!(**args)
  @evaluation_config = args[:evaluation_config] if args.key?(:evaluation_config)
  @export_last_checkpoint_only = args[:export_last_checkpoint_only] if args.key?(:export_last_checkpoint_only)
  @hyper_parameters = args[:hyper_parameters] if args.key?(:hyper_parameters)
  @training_dataset_uri = args[:training_dataset_uri] if args.key?(:training_dataset_uri)
  @tuning_mode = args[:tuning_mode] if args.key?(:tuning_mode)
  @validation_dataset_uri = args[:validation_dataset_uri] if args.key?(:validation_dataset_uri)
end